【摘要】 侧风环境对车辆横向稳定性的影响较大，同时增加了驾驶员操作负担，存在较大的安全隐患。为了提高车辆在侧风环境下的控制精度，基于模型预测控制(MPC)提出了一种考虑侧风环境影响的控制策略。该策略通过分析不同风速下车辆所受气动力建立了整车三自由度动力学模型，同时将气动力系数引入模型预测控制策略中，设计了主动前轮转向的车辆侧风稳定性模型预测控制器。联合仿真结果表明，与普通MPC控制器相比，该控制器在不同侧风环境下控制精度更高、响应速度更快，有效地改善了汽车操纵稳定性和行驶安全性。更多还原

【Abstract】 The influence of crosswind conditions on the lateral stability of vehicles is significant, increasing the burden on drivers and posing substantial safety risks.To enhance the control accuracy of vehicles in crosswind environments, this paper proposes a control strategy considering the effects of crosswind based on model predictive control(MPC).This strategy involves analyzing the aerodynamic forces experienced by vehicles under different wind speeds to establish a three-degree-of-freedom dynamic model of the entire vehicle.Additionally, aerodynamic coefficients are integrated into the model predictive control strategy, leading to the design of a model predictive controller for active front-wheel steering to enhance vehicle lateral stability in crosswind conditions.Joint simulation results demonstrate that compared to a standard MPC controller, this controller achieves higher control accuracy and faster response rates in various crosswind environments, effectively improving vehicle handling stability and driving safety.更多还原